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We invite you to apply for a 2-year postdoctoral position in the area of hybrid AI, combining modern language models (LMs) with ontologies and knowledge graphs (KGs). The position is part of a newly
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research contributions will include designing algorithms for concept and structure extraction, building neural/graph hybrid models for pedagogical reasoning, implementing ontology-alignment methods for cross
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of the three positions is to contribute to the research fields on digitalisation and automation, with a particular focus on the development of an open and interoperable ontology for construction site processes
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language processing (NLP), and ontology-based frameworks to enhance simulation, curriculum development, and personalized learning in health professions education Develop and evaluate AI-powered tools such as chatbots
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datasets (e.g., RNA-Seq, epigenetics, cancer genomics, or metabolomics). Statistical Knowledge: Strong understanding of algorithmic, statistical, and ontological concepts in biology. Communication: Excellent
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. Scientific Background Stem cells are rare populations of cells that (in their primordial, i.e., ontological significance) serve as clonal founders of embryonic or adult somatic structures, while retaining a
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which are transferable to electronic LabBooks and data platforms of relevance for other researchers within the MaterialVital Hub. Lead the development of ELM-dedicated ontology for interoperability within
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description 1 Postdoctoral Researcher position in line: "Ontologies and Knowledge graphs for semantic interoperability
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transcend political and ontological boundaries. This postdoctoral research fellow will, as part of the MARGO project, explore how different deities and ritual traditions have been incorporated and adapted
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are often associated with bodies of water (seas, oceans, rivers, and deltas). They can move, change shape, and transcend political and ontological boundaries. This postdoctoral research fellow will, as part